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Updated: Jan 10, 2026

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为可靠的铁路运输做出贡献:人工智能驱动的实时轮胎缺陷检测和检测

Muhammad Zakir Shaikh1,2,3, Enrique Nava Baro4, Sahil Jatoi5,6

  • 1School of Industrial Engineering, University of Malaga, Malaga, Spain. zakir.shaikh@faculty.muet.edu.pk.

Scientific reports
|November 26, 2025
PubMed
概括

本研究介绍了一种人工智能框架,用于使用YOLO和RTD变压器模型实时检测铁路车轮缺陷. 通过预测性维护,YOLOv5-seg模型实现了高精度和速度,提高了铁路安全.

关键词:
深度学习是一种深度学习.缺陷检测 检测缺陷检测 检测缺陷检测错误诊断是一个错误的诊断.铁路交通运输 铁路运输 铁路运输变压器变压器变压器对于YOLO模型来说,这是一个很好的选择.

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